Overview

Dataset statistics

Number of variables21
Number of observations3168
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory519.9 KiB
Average record size in memory168.0 B

Variable types

Numeric20
Categorical1

Warnings

Dataset has 2 (0.1%) duplicate rows Duplicates
meanfreq is highly correlated with median and 2 other fieldsHigh correlation
median is highly correlated with meanfreq and 1 other fieldsHigh correlation
Q25 is highly correlated with meanfreq and 1 other fieldsHigh correlation
skew is highly correlated with kurtHigh correlation
kurt is highly correlated with skewHigh correlation
centroid is highly correlated with meanfreq and 2 other fieldsHigh correlation
maxdom is highly correlated with dfrangeHigh correlation
dfrange is highly correlated with maxdomHigh correlation
label is uniformly distributed Uniform
mode has 236 (7.4%) zeros Zeros
dfrange has 65 (2.1%) zeros Zeros
modindx has 65 (2.1%) zeros Zeros

Reproduction

Analysis started2021-03-14 17:14:44.855743
Analysis finished2021-03-14 17:15:40.436483
Duration55.58 seconds
Software versionpandas-profiling v2.11.0
Download configurationconfig.yaml

Variables

meanfreq
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1809066104
Minimum0.039363343
Maximum0.251123759
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:40.553833image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.039363343
5-th percentile0.1259677736
Q10.1636621367
median0.1848384095
Q30.199146051
95-th percentile0.2291036805
Maximum0.251123759
Range0.211760416
Interquartile range (IQR)0.03548391425

Descriptive statistics

Standard deviation0.0299178379
Coefficient of variation (CV)0.1653772509
Kurtosis0.8051605422
Mean0.1809066104
Median Absolute Deviation (MAD)0.017386913
Skewness-0.6174952713
Sum573.1121417
Variance0.0008950770247
MonotocityNot monotonic
2021-03-14T18:15:40.770863image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2121899152
 
0.1%
0.2137323722
 
0.1%
0.1858471991
 
< 0.1%
0.1534469831
 
< 0.1%
0.1861066441
 
< 0.1%
0.1850939741
 
< 0.1%
0.1949368061
 
< 0.1%
0.2389170341
 
< 0.1%
0.2351834521
 
< 0.1%
0.19011681
 
< 0.1%
Other values (3156)3156
99.6%
ValueCountFrequency (%)
0.0393633431
< 0.1%
0.0482540751
< 0.1%
0.0596454871
< 0.1%
0.0597809851
< 0.1%
0.0621823121
< 0.1%
ValueCountFrequency (%)
0.2511237591
< 0.1%
0.2496365931
< 0.1%
0.2470406841
< 0.1%
0.2443564471
< 0.1%
0.2435280371
< 0.1%

sd
Real number (ℝ≥0)

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0571259649
Minimum0.018363242
Maximum0.115273247
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:41.010384image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.018363242
5-th percentile0.03161699645
Q10.04195354575
median0.0591551195
Q30.06702042325
95-th percentile0.0854869509
Maximum0.115273247
Range0.096910005
Interquartile range (IQR)0.0250668775

Descriptive statistics

Standard deviation0.01665224708
Coefficient of variation (CV)0.2915004956
Kurtosis-0.521788949
Mean0.0571259649
Median Absolute Deviation (MAD)0.0124773995
Skewness0.1369163163
Sum180.9750568
Variance0.0002772973329
MonotocityNot monotonic
2021-03-14T18:15:41.200581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0431904312
 
0.1%
0.0577047392
 
0.1%
0.051146911
 
< 0.1%
0.0868117531
 
< 0.1%
0.0301878141
 
< 0.1%
0.069297071
 
< 0.1%
0.040612331
 
< 0.1%
0.0800395631
 
< 0.1%
0.0427275111
 
< 0.1%
0.0598200841
 
< 0.1%
Other values (3156)3156
99.6%
ValueCountFrequency (%)
0.0183632421
< 0.1%
0.0217819911
< 0.1%
0.0240016651
< 0.1%
0.0242689321
< 0.1%
0.024562791
< 0.1%
ValueCountFrequency (%)
0.1152732471
< 0.1%
0.1145080381
< 0.1%
0.1126491191
< 0.1%
0.1112604921
< 0.1%
0.1112569691
< 0.1%

median
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3077
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1856206765
Minimum0.010974576
Maximum0.26122449
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:41.403358image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.010974576
5-th percentile0.1163549304
Q10.1695925233
median0.190032379
Q30.210618127
95-th percentile0.2358259825
Maximum0.26122449
Range0.250249914
Interquartile range (IQR)0.04102560375

Descriptive statistics

Standard deviation0.03636014632
Coefficient of variation (CV)0.1958841386
Kurtosis1.629500927
Mean0.1856206765
Median Absolute Deviation (MAD)0.0205781325
Skewness-1.012784663
Sum588.0463031
Variance0.00132206024
MonotocityNot monotonic
2021-03-14T18:15:41.647153image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1866666676
 
0.2%
0.224
 
0.1%
0.1834482763
 
0.1%
0.2121212123
 
0.1%
0.1720315583
 
0.1%
0.2041325543
 
0.1%
0.17923
 
0.1%
0.1457283142
 
0.1%
0.188939132
 
0.1%
0.2098962962
 
0.1%
Other values (3067)3137
99.0%
ValueCountFrequency (%)
0.0109745761
< 0.1%
0.0135875221
< 0.1%
0.015790311
< 0.1%
0.0269946811
< 0.1%
0.0293612961
< 0.1%
ValueCountFrequency (%)
0.261224491
< 0.1%
0.2605405411
< 0.1%
0.257417051
< 0.1%
0.256983561
< 0.1%
0.2566312591
< 0.1%

Q25
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3103
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1404555905
Minimum0.000228758
Maximum0.247346939
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:41.855170image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.000228758
5-th percentile0.04358040915
Q10.111086513
median0.1402864185
Q30.1759387713
95-th percentile0.2152441288
Maximum0.247346939
Range0.247118181
Interquartile range (IQR)0.06485225825

Descriptive statistics

Standard deviation0.04867971586
Coefficient of variation (CV)0.3465843951
Kurtosis0.01833354694
Mean0.1404555905
Median Absolute Deviation (MAD)0.032641123
Skewness-0.4908766852
Sum444.9633106
Variance0.002369714736
MonotocityNot monotonic
2021-03-14T18:15:42.109226image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.146
 
0.2%
0.2036363643
 
0.1%
0.1716129033
 
0.1%
0.1365853662
 
0.1%
0.1368181822
 
0.1%
0.1365153732
 
0.1%
0.1013086992
 
0.1%
0.1272727272
 
0.1%
0.0863829792
 
0.1%
0.1264147092
 
0.1%
Other values (3093)3142
99.2%
ValueCountFrequency (%)
0.0002287581
< 0.1%
0.0002354921
< 0.1%
0.0002395211
< 0.1%
0.0002502231
< 0.1%
0.0002669212
0.1%
ValueCountFrequency (%)
0.2473469391
< 0.1%
0.2421235321
< 0.1%
0.2407351941
< 0.1%
0.2405416251
< 0.1%
0.2394594591
< 0.1%

Q75
Real number (ℝ≥0)

Distinct3034
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2247649614
Minimum0.042946274
Maximum0.273469388
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:42.324824image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.042946274
5-th percentile0.1874137336
Q10.2087466155
median0.225684215
Q30.2436604828
95-th percentile0.2576779698
Maximum0.273469388
Range0.230523114
Interquartile range (IQR)0.03491386725

Descriptive statistics

Standard deviation0.02363927828
Coefficient of variation (CV)0.1051733248
Kurtosis2.981810298
Mean0.2247649614
Median Absolute Deviation (MAD)0.0174242505
Skewness-0.9003108142
Sum712.0553977
Variance0.0005588154777
MonotocityNot monotonic
2021-03-14T18:15:42.546894image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2418181825
 
0.2%
0.245
 
0.2%
0.2488888894
 
0.1%
0.2333333334
 
0.1%
0.2290909094
 
0.1%
0.2454
 
0.1%
0.241379314
 
0.1%
0.2477808223
 
0.1%
0.2085714293
 
0.1%
0.2404081633
 
0.1%
Other values (3024)3129
98.8%
ValueCountFrequency (%)
0.0429462741
< 0.1%
0.0582684671
< 0.1%
0.0759574471
< 0.1%
0.090193441
< 0.1%
0.092666191
< 0.1%
ValueCountFrequency (%)
0.2734693881
< 0.1%
0.269851731
< 0.1%
0.268937331
< 0.1%
0.2689240511
< 0.1%
0.2687919941
< 0.1%

IQR
Real number (ℝ≥0)

Distinct3068
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08430937094
Minimum0.014557731
Maximum0.252225201
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:42.749527image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.014557731
5-th percentile0.02548668955
Q10.0425597345
median0.094279954
Q30.1141750868
95-th percentile0.1563189556
Maximum0.252225201
Range0.23766747
Interquartile range (IQR)0.07161535225

Descriptive statistics

Standard deviation0.04278305438
Coefficient of variation (CV)0.5074531324
Kurtosis-0.448160297
Mean0.08430937094
Median Absolute Deviation (MAD)0.0326551935
Skewness0.2954323561
Sum267.0920871
Variance0.001830389742
MonotocityNot monotonic
2021-03-14T18:15:42.936617image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1054
 
0.1%
0.0430769234
 
0.1%
0.0354
 
0.1%
0.1058445043
 
0.1%
0.0466666673
 
0.1%
0.0248888893
 
0.1%
0.0233333333
 
0.1%
0.1067150642
 
0.1%
0.0933333332
 
0.1%
0.110303032
 
0.1%
Other values (3058)3138
99.1%
ValueCountFrequency (%)
0.0145577311
< 0.1%
0.0149224811
< 0.1%
0.0151111111
< 0.1%
0.015491011
< 0.1%
0.0165853661
< 0.1%
ValueCountFrequency (%)
0.2522252011
< 0.1%
0.2487702571
< 0.1%
0.2481916541
< 0.1%
0.2459652711
< 0.1%
0.2453002861
< 0.1%

skew
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.14016752
Minimum0.141735424
Maximum34.72545327
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:43.685739image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.141735424
5-th percentile1.122956172
Q11.649568695
median2.197100657
Q32.931694047
95-th percentile6.918370951
Maximum34.72545327
Range34.58371785
Interquartile range (IQR)1.282125352

Descriptive statistics

Standard deviation4.240528713
Coefficient of variation (CV)1.350414806
Kurtosis25.36344634
Mean3.14016752
Median Absolute Deviation (MAD)0.6101389845
Skewness4.933314185
Sum9948.050704
Variance17.98208377
MonotocityNot monotonic
2021-03-14T18:15:43.886810image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.8625728092
 
0.1%
2.1135982782
 
0.1%
0.8104376081
 
< 0.1%
9.6499502431
 
< 0.1%
2.7360236871
 
< 0.1%
1.1968674081
 
< 0.1%
2.6162755221
 
< 0.1%
1.990994621
 
< 0.1%
1.3676851761
 
< 0.1%
1.8333474111
 
< 0.1%
Other values (3156)3156
99.6%
ValueCountFrequency (%)
0.1417354241
< 0.1%
0.2850202851
< 0.1%
0.3260330341
< 0.1%
0.5295838031
< 0.1%
0.5487427051
< 0.1%
ValueCountFrequency (%)
34.725453271
< 0.1%
34.537487561
< 0.1%
33.566337531
< 0.1%
33.167300361
< 0.1%
32.350739271
< 0.1%

kurt
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.56846079
Minimum2.068455491
Maximum1309.612887
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:44.129072image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2.068455491
5-th percentile3.755363316
Q15.669546856
median8.318463289
Q313.64890532
95-th percentile75.16913085
Maximum1309.612887
Range1307.544432
Interquartile range (IQR)7.979358461

Descriptive statistics

Standard deviation134.9286612
Coefficient of variation (CV)3.689755005
Kurtosis35.93212929
Mean36.56846079
Median Absolute Deviation (MAD)3.304528941
Skewness5.872586434
Sum115848.8838
Variance18205.74362
MonotocityNot monotonic
2021-03-14T18:15:44.367845image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.8909269852
 
0.1%
6.1097902862
 
0.1%
7.2245613861
 
< 0.1%
9.7172573471
 
< 0.1%
8.0781007251
 
< 0.1%
5.5337299411
 
< 0.1%
4.9776918561
 
< 0.1%
4.7655103391
 
< 0.1%
60.953241281
 
< 0.1%
10.634505541
 
< 0.1%
Other values (3156)3156
99.6%
ValueCountFrequency (%)
2.0684554911
< 0.1%
2.2096727721
< 0.1%
2.2694322231
< 0.1%
2.2933681
< 0.1%
2.462561321
< 0.1%
ValueCountFrequency (%)
1309.6128871
< 0.1%
1271.3536281
< 0.1%
1202.6845521
< 0.1%
1193.4340661
< 0.1%
1128.5347821
< 0.1%

sp.ent
Real number (ℝ≥0)

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8951270643
Minimum0.738650686
Maximum0.981996589
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:44.600856image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.738650686
5-th percentile0.8167506624
Q10.8618109808
median0.9017668305
Q30.9287134565
95-th percentile0.9629862749
Maximum0.981996589
Range0.243345903
Interquartile range (IQR)0.06690247575

Descriptive statistics

Standard deviation0.04497951839
Coefficient of variation (CV)0.05024931117
Kurtosis-0.4239247361
Mean0.8951270643
Median Absolute Deviation (MAD)0.032091176
Skewness-0.4309339828
Sum2835.76254
Variance0.002023157075
MonotocityNot monotonic
2021-03-14T18:15:44.842690image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8597123482
 
0.1%
0.8776688692
 
0.1%
0.8984041751
 
< 0.1%
0.9539042381
 
< 0.1%
0.8408072431
 
< 0.1%
0.9046313391
 
< 0.1%
0.9443912191
 
< 0.1%
0.9174652331
 
< 0.1%
0.8527776881
 
< 0.1%
0.8951107171
 
< 0.1%
Other values (3156)3156
99.6%
ValueCountFrequency (%)
0.7386506861
< 0.1%
0.7475694671
< 0.1%
0.747694871
< 0.1%
0.7484950081
< 0.1%
0.748676381
< 0.1%
ValueCountFrequency (%)
0.9819965891
< 0.1%
0.978481791
< 0.1%
0.976532971
< 0.1%
0.9764626191
< 0.1%
0.9763554611
< 0.1%

sfm
Real number (ℝ≥0)

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4082164114
Minimum0.036876475
Maximum0.842935931
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:45.118568image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.036876475
5-th percentile0.1584453161
Q10.2580405217
median0.3963351565
Q30.533676165
95-th percentile0.7328248347
Maximum0.842935931
Range0.806059456
Interquartile range (IQR)0.2756356432

Descriptive statistics

Standard deviation0.177521105
Coefficient of variation (CV)0.4348700837
Kurtosis-0.8359339026
Mean0.4082164114
Median Absolute Deviation (MAD)0.138087565
Skewness0.339957584
Sum1293.229591
Variance0.03151374272
MonotocityNot monotonic
2021-03-14T18:15:45.312779image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.314397682
 
0.1%
0.0849343642
 
0.1%
0.3821207491
 
< 0.1%
0.3710199441
 
< 0.1%
0.4146996381
 
< 0.1%
0.3690923651
 
< 0.1%
0.3152699341
 
< 0.1%
0.1897027421
 
< 0.1%
0.3123632751
 
< 0.1%
0.4625713461
 
< 0.1%
Other values (3156)3156
99.6%
ValueCountFrequency (%)
0.0368764751
< 0.1%
0.0802374711
< 0.1%
0.0809634431
< 0.1%
0.0822040851
< 0.1%
0.0826556061
< 0.1%
ValueCountFrequency (%)
0.8429359311
< 0.1%
0.8313468671
< 0.1%
0.8260991381
< 0.1%
0.8226706541
< 0.1%
0.8225866361
< 0.1%

mode
Real number (ℝ≥0)

ZEROS

Distinct2825
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1652817968
Minimum0
Maximum0.28
Zeros236
Zeros (%)7.4%
Memory size24.9 KiB
2021-03-14T18:15:45.482929image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1180157757
median0.1865986395
Q30.2211041342
95-th percentile0.2608128743
Maximum0.28
Range0.28
Interquartile range (IQR)0.1030883585

Descriptive statistics

Standard deviation0.07720301385
Coefficient of variation (CV)0.4670993138
Kurtosis-0.2559077038
Mean0.1652817968
Median Absolute Deviation (MAD)0.044509883
Skewness-0.8372359938
Sum523.6127321
Variance0.005960305347
MonotocityNot monotonic
2021-03-14T18:15:45.628328image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0236
 
7.4%
0.2810
 
0.3%
0.0600536195
 
0.2%
0.0600476575
 
0.2%
0.1866666675
 
0.2%
0.0501142424
 
0.1%
0.0501333334
 
0.1%
0.0500558664
 
0.1%
0.050059884
 
0.1%
0.0500616524
 
0.1%
Other values (2815)2887
91.1%
ValueCountFrequency (%)
0236
7.4%
0.0007279031
 
< 0.1%
0.0007749081
 
< 0.1%
0.0008007631
 
< 0.1%
0.0008427391
 
< 0.1%
ValueCountFrequency (%)
0.2810
0.3%
0.279703391
 
< 0.1%
0.2795851851
 
< 0.1%
0.2795229981
 
< 0.1%
0.279118111
 
< 0.1%

centroid
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1809066104
Minimum0.039363343
Maximum0.251123759
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:45.777184image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.039363343
5-th percentile0.1259677736
Q10.1636621367
median0.1848384095
Q30.199146051
95-th percentile0.2291036805
Maximum0.251123759
Range0.211760416
Interquartile range (IQR)0.03548391425

Descriptive statistics

Standard deviation0.0299178379
Coefficient of variation (CV)0.1653772509
Kurtosis0.8051605422
Mean0.1809066104
Median Absolute Deviation (MAD)0.017386913
Skewness-0.6174952713
Sum573.1121417
Variance0.0008950770247
MonotocityNot monotonic
2021-03-14T18:15:45.925740image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2121899152
 
0.1%
0.2137323722
 
0.1%
0.1858471991
 
< 0.1%
0.1534469831
 
< 0.1%
0.1861066441
 
< 0.1%
0.1850939741
 
< 0.1%
0.1949368061
 
< 0.1%
0.2389170341
 
< 0.1%
0.2351834521
 
< 0.1%
0.19011681
 
< 0.1%
Other values (3156)3156
99.6%
ValueCountFrequency (%)
0.0393633431
< 0.1%
0.0482540751
< 0.1%
0.0596454871
< 0.1%
0.0597809851
< 0.1%
0.0621823121
< 0.1%
ValueCountFrequency (%)
0.2511237591
< 0.1%
0.2496365931
< 0.1%
0.2470406841
< 0.1%
0.2443564471
< 0.1%
0.2435280371
< 0.1%

meanfun
Real number (ℝ≥0)

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1428067343
Minimum0.055565349
Maximum0.237636387
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:46.079617image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.055565349
5-th percentile0.0936270943
Q10.1169984857
median0.140518518
Q30.16958062
95-th percentile0.1934318978
Maximum0.237636387
Range0.182071038
Interquartile range (IQR)0.05258213425

Descriptive statistics

Standard deviation0.03230443258
Coefficient of variation (CV)0.2262108488
Kurtosis-0.85995965
Mean0.1428067343
Median Absolute Deviation (MAD)0.02632417
Skewness0.03914069061
Sum452.4117342
Variance0.001043576364
MonotocityNot monotonic
2021-03-14T18:15:46.263968image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1399424782
 
0.1%
0.1336673032
 
0.1%
0.179715451
 
< 0.1%
0.0985893351
 
< 0.1%
0.1114935251
 
< 0.1%
0.1848532331
 
< 0.1%
0.1155252771
 
< 0.1%
0.1299992011
 
< 0.1%
0.1577682521
 
< 0.1%
0.1088874131
 
< 0.1%
Other values (3156)3156
99.6%
ValueCountFrequency (%)
0.0555653491
< 0.1%
0.0570452391
< 0.1%
0.0609657071
< 0.1%
0.0625416441
< 0.1%
0.063475181
< 0.1%
ValueCountFrequency (%)
0.2376363871
< 0.1%
0.231135291
< 0.1%
0.229152531
< 0.1%
0.2257554711
< 0.1%
0.2234170491
< 0.1%

minfun
Real number (ℝ≥0)

Distinct913
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03680180836
Minimum0.009775171
Maximum0.204081633
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:46.436417image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.009775171
5-th percentile0.015794669
Q10.018223235
median0.04610951
Q30.047904192
95-th percentile0.05644147355
Maximum0.204081633
Range0.194306462
Interquartile range (IQR)0.029680957

Descriptive statistics

Standard deviation0.01921995215
Coefficient of variation (CV)0.5222556446
Kurtosis10.75808577
Mean0.03680180836
Median Absolute Deviation (MAD)0.011266304
Skewness1.87800396
Sum116.5881289
Variance0.0003694065605
MonotocityNot monotonic
2021-03-14T18:15:46.592976image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04692082164
 
2.0%
0.04710500559
 
1.9%
0.04701273353
 
1.7%
0.04696673247
 
1.5%
0.04705882446
 
1.5%
0.0472906446
 
1.5%
0.04715127741
 
1.3%
0.0471976440
 
1.3%
0.04738400840
 
1.3%
0.04747774535
 
1.1%
Other values (903)2697
85.1%
ValueCountFrequency (%)
0.0097751711
< 0.1%
0.0097847361
< 0.1%
0.009900991
< 0.1%
0.0099108031
< 0.1%
0.0101626021
< 0.1%
ValueCountFrequency (%)
0.2040816331
< 0.1%
0.22
0.1%
0.1851851851
< 0.1%
0.1785714291
< 0.1%
0.1684210531
< 0.1%

maxfun
Real number (ℝ≥0)

Distinct123
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2588422457
Minimum0.103092784
Maximum0.279113924
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:46.764317image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.103092784
5-th percentile0.1924698792
Q10.253968254
median0.271186441
Q30.277456647
95-th percentile0.279069767
Maximum0.279113924
Range0.17602114
Interquartile range (IQR)0.023488393

Descriptive statistics

Standard deviation0.03007730937
Coefficient of variation (CV)0.1161993835
Kurtosis5.203917905
Mean0.2588422457
Median Absolute Deviation (MAD)0.007883326
Skewness-2.238534779
Sum820.0122343
Variance0.0009046445387
MonotocityNot monotonic
2021-03-14T18:15:46.922308image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.279069767532
16.8%
0.275862069462
14.6%
0.277456647339
 
10.7%
0.271186441235
 
7.4%
0.266666667159
 
5.0%
0.262295082127
 
4.0%
0.274285714107
 
3.4%
0.25101
 
3.2%
0.25806451686
 
2.7%
0.25396825462
 
2.0%
Other values (113)958
30.2%
ValueCountFrequency (%)
0.1030927841
< 0.1%
0.1052631581
< 0.1%
0.1086956521
< 0.1%
0.1111111111
< 0.1%
0.1123595511
< 0.1%
ValueCountFrequency (%)
0.2791139246
 
0.2%
0.279069767532
16.8%
0.27777777839
 
1.2%
0.277456647339
10.7%
0.2773584913
 
0.1%

meandom
Real number (ℝ≥0)

Distinct2999
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8292109597
Minimum0.0078125
Maximum2.957682292
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:47.088659image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.0078125
5-th percentile0.1044901209
Q10.4198279747
median0.765794837
Q31.177165905
95-th percentile1.800401651
Maximum2.957682292
Range2.949869792
Interquartile range (IQR)0.7573379298

Descriptive statistics

Standard deviation0.5252050333
Coefficient of variation (CV)0.6333792712
Kurtosis-0.05477253033
Mean0.8292109597
Median Absolute Deviation (MAD)0.374942472
Skewness0.6110224343
Sum2626.94032
Variance0.275840327
MonotocityNot monotonic
2021-03-14T18:15:47.245507image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.007812561
 
1.9%
0.718754
 
0.1%
0.46093754
 
0.1%
0.19531254
 
0.1%
0.07031254
 
0.1%
1.3723958333
 
0.1%
0.3678385423
 
0.1%
1.00781253
 
0.1%
0.25781253
 
0.1%
0.5781253
 
0.1%
Other values (2989)3076
97.1%
ValueCountFrequency (%)
0.007812561
1.9%
0.0079787231
 
< 0.1%
0.0079900571
 
< 0.1%
0.0081845241
 
< 0.1%
0.0082465281
 
< 0.1%
ValueCountFrequency (%)
2.9576822921
< 0.1%
2.8052455361
< 0.1%
2.6769886361
< 0.1%
2.5915798611
< 0.1%
2.5442708331
< 0.1%

mindom
Real number (ℝ≥0)

Distinct77
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05264704543
Minimum0.004882813
Maximum0.458984375
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:47.415009image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.004882813
5-th percentile0.0078125
Q10.0078125
median0.0234375
Q30.0703125
95-th percentile0.1875
Maximum0.458984375
Range0.454101562
Interquartile range (IQR)0.0625

Descriptive statistics

Standard deviation0.06329947813
Coefficient of variation (CV)1.202336762
Kurtosis2.187585991
Mean0.05264704543
Median Absolute Deviation (MAD)0.015625
Skewness1.661113783
Sum166.7858399
Variance0.004006823932
MonotocityNot monotonic
2021-03-14T18:15:47.588699image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02343751246
39.3%
0.0078125814
25.7%
0.1640625109
 
3.4%
0.054687563
 
2.0%
0.00488281361
 
1.9%
0.1562546
 
1.5%
0.0937546
 
1.5%
0.210937545
 
1.4%
0.070312542
 
1.3%
0.01562538
 
1.2%
Other values (67)658
20.8%
ValueCountFrequency (%)
0.00488281361
 
1.9%
0.0078125814
25.7%
0.0146484382
 
0.1%
0.01562538
 
1.2%
0.019531251
 
< 0.1%
ValueCountFrequency (%)
0.4589843751
< 0.1%
0.449218751
< 0.1%
0.4003906251
< 0.1%
0.35156251
< 0.1%
0.343751
< 0.1%

maxdom
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1054
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.047276738
Minimum0.0078125
Maximum21.8671875
Zeros0
Zeros (%)0.0%
Memory size24.9 KiB
2021-03-14T18:15:47.745770image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.0078125
5-th percentile0.3125
Q12.0703125
median4.9921875
Q37.0078125
95-th percentile10.640625
Maximum21.8671875
Range21.859375
Interquartile range (IQR)4.9375

Descriptive statistics

Standard deviation3.521156611
Coefficient of variation (CV)0.6976349415
Kurtosis1.31473759
Mean5.047276738
Median Absolute Deviation (MAD)2.40625
Skewness0.7261889465
Sum15989.77271
Variance12.39854388
MonotocityNot monotonic
2021-03-14T18:15:47.899635image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.007812561
 
1.9%
721
 
0.7%
5.1562516
 
0.5%
12.023437515
 
0.5%
0.695312513
 
0.4%
0.562513
 
0.4%
0.78613281313
 
0.4%
5.39062511
 
0.3%
0.73437511
 
0.3%
6.445312511
 
0.3%
Other values (1044)2983
94.2%
ValueCountFrequency (%)
0.007812561
1.9%
0.0156253
 
0.1%
0.02343751
 
< 0.1%
0.05468751
 
< 0.1%
0.07031254
 
0.1%
ValueCountFrequency (%)
21.86718751
< 0.1%
21.843751
< 0.1%
21.7968751
< 0.1%
21.56251
< 0.1%
21.5156251
< 0.1%

dfrange
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1091
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.994629692
Minimum0
Maximum21.84375
Zeros65
Zeros (%)2.1%
Memory size24.9 KiB
2021-03-14T18:15:48.056193image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.265625
Q12.044921875
median4.9453125
Q36.9921875
95-th percentile10.60898437
Maximum21.84375
Range21.84375
Interquartile range (IQR)4.947265625

Descriptive statistics

Standard deviation3.52003912
Coefficient of variation (CV)0.7047647847
Kurtosis1.318012674
Mean4.994629692
Median Absolute Deviation (MAD)2.390625
Skewness0.7282610635
Sum15822.98687
Variance12.39067541
MonotocityNot monotonic
2021-03-14T18:15:48.196858image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
065
 
2.1%
5.132812515
 
0.5%
0.62515
 
0.5%
0.679687514
 
0.4%
3.7513
 
0.4%
0.664062512
 
0.4%
0.70312511
 
0.3%
0.64062511
 
0.3%
8.882812511
 
0.3%
1210
 
0.3%
Other values (1081)2991
94.4%
ValueCountFrequency (%)
065
2.1%
0.00781253
 
0.1%
0.0156251
 
< 0.1%
0.019531252
 
0.1%
0.0244140631
 
< 0.1%
ValueCountFrequency (%)
21.843751
< 0.1%
21.82031251
< 0.1%
21.77343751
< 0.1%
21.53906251
< 0.1%
21.49218751
< 0.1%

modindx
Real number (ℝ≥0)

ZEROS

Distinct3079
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1737515061
Minimum0
Maximum0.932374101
Zeros65
Zeros (%)2.1%
Memory size24.9 KiB
2021-03-14T18:15:48.341823image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05774969085
Q10.099765806
median0.1393570225
Q30.2091832492
95-th percentile0.4055158152
Maximum0.932374101
Range0.932374101
Interquartile range (IQR)0.1094174432

Descriptive statistics

Standard deviation0.1194543894
Coefficient of variation (CV)0.6875013176
Kurtosis5.924935219
Mean0.1737515061
Median Absolute Deviation (MAD)0.047418634
Skewness2.064334578
Sum550.4447715
Variance0.01426935115
MonotocityNot monotonic
2021-03-14T18:15:48.505278image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
065
 
2.1%
0.1333333333
 
0.1%
0.1666666673
 
0.1%
0.23
 
0.1%
0.0526315793
 
0.1%
0.1176470593
 
0.1%
0.142
 
0.1%
0.1462053572
 
0.1%
0.2115384622
 
0.1%
0.2407407412
 
0.1%
Other values (3069)3080
97.2%
ValueCountFrequency (%)
065
2.1%
0.0198813531
 
< 0.1%
0.021647511
 
< 0.1%
0.0219435741
 
< 0.1%
0.0221674881
 
< 0.1%
ValueCountFrequency (%)
0.9323741011
< 0.1%
0.8795031061
< 0.1%
0.8577642451
< 0.1%
0.8547008551
< 0.1%
0.8444827591
< 0.1%

label
Categorical

UNIFORM

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
male
1584 
female
1584 

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters15840
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmale
2nd rowmale
3rd rowmale
4th rowmale
5th rowmale
ValueCountFrequency (%)
male1584
50.0%
female1584
50.0%
2021-03-14T18:15:48.786175image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
2021-03-14T18:15:48.880318image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
male1584
50.0%
female1584
50.0%

Most occurring characters

ValueCountFrequency (%)
e4752
30.0%
m3168
20.0%
a3168
20.0%
l3168
20.0%
f1584
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter15840
100.0%

Most frequent character per category

ValueCountFrequency (%)
e4752
30.0%
m3168
20.0%
a3168
20.0%
l3168
20.0%
f1584
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15840
100.0%

Most frequent character per script

ValueCountFrequency (%)
e4752
30.0%
m3168
20.0%
a3168
20.0%
l3168
20.0%
f1584
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII15840
100.0%

Most frequent character per block

ValueCountFrequency (%)
e4752
30.0%
m3168
20.0%
a3168
20.0%
l3168
20.0%
f1584
 
10.0%

Interactions

2021-03-14T18:14:47.575636image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-14T18:14:47.726343image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-14T18:14:47.847435image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-14T18:14:47.977251image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-14T18:14:48.118131image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-14T18:14:48.255584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-14T18:14:48.397789image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-14T18:14:48.537914image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-14T18:14:48.652774image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-14T18:14:48.806736image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-03-14T18:15:39.092257image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Correlations

2021-03-14T18:15:48.983893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-03-14T18:15:49.260654image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-03-14T18:15:49.531941image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-03-14T18:15:49.809538image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-03-14T18:15:39.458619image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
A simple visualization of nullity by column.
2021-03-14T18:15:40.158927image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

meanfreqsdmedianQ25Q75IQRskewkurtsp.entsfmmodecentroidmeanfunminfunmaxfunmeandommindommaxdomdfrangemodindxlabel
00.0597810.0642410.0320270.0150710.0901930.07512212.863462274.4029060.8933690.4919180.0000000.0597810.0842790.0157020.2758620.0078120.0078120.0078120.0000000.000000male
10.0660090.0673100.0402290.0194140.0926660.07325222.423285634.6138550.8921930.5137240.0000000.0660090.1079370.0158260.2500000.0090140.0078120.0546880.0468750.052632male
20.0773160.0838290.0367180.0087010.1319080.12320730.7571551024.9277050.8463890.4789050.0000000.0773160.0987060.0156560.2711860.0079900.0078120.0156250.0078120.046512male
30.1512280.0721110.1580110.0965820.2079550.1113741.2328314.1772960.9633220.7272320.0838780.1512280.0889650.0177980.2500000.2014970.0078120.5625000.5546880.247119male
40.1351200.0791460.1246560.0787200.2060450.1273251.1011744.3337130.9719550.7835680.1042610.1351200.1063980.0169310.2666670.7128120.0078125.4843755.4765620.208274male
50.1327860.0795570.1190900.0679580.2095920.1416341.9325628.3088950.9631810.7383070.1125550.1327860.1101320.0171120.2539680.2982220.0078122.7265622.7187500.125160male
60.1507620.0744630.1601060.0928990.2057180.1128191.5306435.9874980.9675730.7626380.0861970.1507620.1059450.0262300.2666670.4796200.0078125.3125005.3046880.123992male
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80.1422390.0780180.1385870.0882060.2085870.1203811.0997464.0702840.9707230.7709920.2191030.1422390.0967290.0179570.2500000.3364760.0078122.1640622.1562500.148272male
90.1343290.0803500.1214510.0755800.2019570.1263771.1903684.7873100.9752460.8045050.0116990.1343290.1058810.0193000.2622950.3403650.0156254.6953124.6796880.089920male

Last rows

meanfreqsdmedianQ25Q75IQRskewkurtsp.entsfmmodecentroidmeanfunminfunmaxfunmeandommindommaxdomdfrangemodindxlabel
31580.1836670.0406070.1825340.1564800.2076460.0511662.0541387.4830190.8981380.3139250.1770400.1836670.1492370.0186480.2622950.5503120.0078123.4218753.4140620.166503female
31590.1687940.0858420.1889800.0955580.2402290.1446711.4622485.0779560.9562010.7068610.1844420.1687940.1828630.0206990.2711860.9882810.0078125.8828125.8750000.268617female
31600.1517710.0891470.1859700.0581590.2301990.1720401.2277104.3043540.9620450.7445900.2305470.1517710.2016000.0234260.2666670.7667410.0078124.0078124.0000000.192220female
31610.1706560.0812370.1842770.1130120.2390960.1260841.3782565.4316630.9507500.6585580.1615060.1706560.1984750.1600000.2539680.4140620.0078120.7343750.7265620.336918female
31620.1460230.0925250.1834340.0417470.2243370.1825901.3849815.1189270.9489990.6598250.2154820.1460230.1956400.0395060.2758620.5338540.0078122.9921882.9843750.258924female
31630.1318840.0847340.1537070.0492850.2011440.1518591.7621296.6303830.9629340.7631820.2008360.1318840.1827900.0837700.2622950.8328990.0078124.2109384.2031250.161929female
31640.1162210.0892210.0767580.0427180.2049110.1621930.6937302.5039540.9607160.7095700.0136830.1162210.1889800.0344090.2758620.9098560.0390623.6796883.6406250.277897female
31650.1420560.0957980.1837310.0334240.2243600.1909361.8765026.6045090.9468540.6541960.0080060.1420560.2099180.0395060.2758620.4942710.0078122.9375002.9296880.194759female
31660.1436590.0906280.1849760.0435080.2199430.1764351.5910655.3882980.9504360.6754700.2122020.1436590.1723750.0344830.2500000.7913600.0078123.5937503.5859380.311002female
31670.1655090.0928840.1830440.0700720.2508270.1807561.7050295.7691150.9388290.6015290.2677020.1655090.1856070.0622570.2711860.2270220.0078120.5546880.5468750.350000female

Duplicate rows

Most frequent

meanfreqsdmedianQ25Q75IQRskewkurtsp.entsfmmodecentroidmeanfunminfunmaxfunmeandommindommaxdomdfrangemodindxlabelcount
00.2121900.0431900.2151530.1889570.2456440.0566871.8625736.1097900.8776690.3143980.1889570.2121900.1399420.0471980.2790701.9255510.02343815.60937515.5859380.121344female2
10.2137320.0577050.2425730.1417010.2579840.1162832.1135987.8909270.8597120.0849340.2489780.2137320.1336670.0283190.2539680.8181250.1328124.1640624.0312500.229051male2